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    2dan1m - 2D Animated NSFW - general
    NSFW

    The 2D animated NSFW LoRA for MiniMax H3. Cel, hard outlines, limited animation on twos.

    5sec: Use for higher quality, short animated loops up to 5 seconds long. Trained on looping 5 second 512p class video.

    General: Use for more advanced, long-form videos with multiple shots or actions. Trained on up to 15 second 384p class video.

    Trigger: 2dan1m, 2D-animated

    Best mode: I2VA (animate a still). T2VA works; identity is weaker.

    Start every prompt with:

    2dan1m [Shot 1] 2D-animated

    Then count + act only (1girl, 1boy, cowgirl position, vaginal / fellatio / handjob / paizuri / ejaculation), name and describe the characters, and write the action. Camera can hold, pan, tilt, or push. For a real cut, add [Shot 2], [Shot 3], etc. This LoRA is trained for multi-shot, not just a single loop.

    Use H3’s three fields (integrated_multimodal_description / overall_soundscape / non_diegetic_music). Guidance 1. 24 fps.

    Trained on high quality 2D animated loops. Describe the character, hair, eyes, body, and costume.

    Not for: photoreal, 3D, aftersex.

    Description

    FAQ

    Comments (26)

    Sara_Aug 15, 2026· 2 reactions
    CivitAI

    This is incorrectly labeled as "Checkpoint" even though it's a LoRA

    KiraNuggetAug 15, 2026
    CivitAI

    Has this been tested in ref2v? Looks really good btw

    goobnoob
    Author
    Aug 15, 2026· 3 reactions

    I'm looking to train ref2v once the training framework supports it.

    legacyv2Aug 17, 2026· 1 reaction

    use fflf2va model in ref2v mode. you get same level of reference adherence but the lora works

    KiraNuggetAug 17, 2026

    @legacyv2 really? Whats the point of two models then if fl2v works in both modes? i'll have to test this.

    KiraNuggetAug 17, 2026

    @legacyv2 well damn. I'm looking at the preview and.. yeah FL2VA model seems to work with ref2v mode. That's gonna save a lot of time. Ref2v was really slow on my hardware! Thanks!

    bengbengAug 15, 2026· 3 reactions
    CivitAI

    hero!

    RizzerXpoolAug 15, 2026· 5 reactions
    CivitAI

    Wanted this type of lora from the starting of model released also requested on reddit now finnally its here

    Fish788Aug 15, 2026· 3 reactions
    CivitAI

    I was just thinking about doing something like this. I'm happy to see someone has done it. I did a small bit of testing and the one thing I've notice is, if the guy's penis head is visible in the first image, then it will be visible during the entire penetration animation. I feel like this could be improved with better prompting but I'll have to do more testing later. Good job, I like what I see so far.

    TonySSSAug 15, 2026
    CivitAI

    Not bad so far, sometimes wonky but a good start nonetheless. Hope to see it go far with updates as it defenitely has potential to become the definitve LoRA for 2D hentai images for H3 I was always looking for.

    zsszeoAug 15, 2026
    CivitAI

    Lora works really well, but when I try to describe things using my own prompts, the results aren’t quite as good. I just can’t break down an action into such detailed prompts the way you do. I’m curious,are your prompts entirely handwritten, or do you use AI to help generate them?

    goobnoob
    Author
    Aug 15, 2026· 3 reactions

    I used AI to generate them partially, I can provide the template prompts in the description to help

    FNMicrowaveAug 15, 2026

    @goobnoob template prompts would be awesome!

    goobnoob
    Author
    Aug 15, 2026· 4 reactions

    @FNMicrowave They're posted in the optional files

    87ko19274Aug 17, 2026

    You can use Grok, first have it check the prompt guidelines on the MiniMax H3 model page, then give it your prompt and requirements, and let it help you polish the text.

    LastAssignmentAug 15, 2026· 2 reactions
    CivitAI

    Works pretty well at 0.4 strength for i2v and ref2va, anything above seems to reduce the models dynamics too much since H3 can already do basic nsfw anims without any LoRAs. Lipsync breaks, motion is stifled etc. when strength is too high but at 0.4 it definitely helps to make penetration and motion more consistent for anime styles.

    goobnoob
    Author
    Aug 15, 2026· 2 reactions

    Makes sense, if somebody went in and captioned all the dialogue in the training videos and added more dialogue-based samples, that would probably resolve the dialogue issue. I primarily just wanted the sound effects to come through. High quality data labeling is a chore compared to training setup.

    mamwAug 16, 2026

    Thanks for sharing. I was struggling with how to handle the first frame—specifically, how to maintain the shape of the penis when it is already fully inserted—and I found inspiration in your workflow.

    blushinky144Aug 16, 2026

    @goobnoob for your training dataset, this might help auto-covert it to H3. Can append the current prompt to the end of this prompt and it will automatically convert to H3 format -



    Your task is to generate a perfect prompt optimize for the Minimax H3 model image to video. Use this guide to optimize a prompt inputed by the user, you must adhere strictly to this guide to output the final prompt. never give explanation or anything other than the prompt itself.

    Critical instruction:

    -Only describe things that you have an input for; the user can only give you 1 image, 1 audio and 1 video, if you are told to use character from image 1 and have the image, describe it, but then if the character, object or background from image 2 or 3, etc, is introduced, only describe what the user gave you, do not imagine anything.

    -When a video duration and multiples actions, sequences or shots are inputed ONLY; use time stamps as the guide orders. "At 00:03.500", "At 00:08.000", etc. Make sure to leave enough time for the action or dialogue to unfold.

    -In the integrated_multimodal_description, NEVER include the starting "00:00.000" timestamp.

    -If no video duration is included in the user's prompt, do not use timstamps.

    -Use explicit language when describing anatomy and sexual motions. do not use vague words like "private parts" or "crotch area" use the real terms or crude terms like "vagina", "pussy", "penis", "cock", etc.

    -Analze the first image to see if it is 2d, anime, 3d, realistic and use the proper style tags as the guide orders.

    Here is the guide you must use:

    Full-Reference Mode Rewrite Output Format Guide

    This guide explains how rewrite outputs are organized and written in full-reference mode.

    Write all six rewrite sections in English. Preserve the original language only for dialogue and lyrics inside <d> and for text visibly present in the scene.

    Description detail: Make detailed_description as detailed and explicit as possible. For each shot, clearly establish the current composition, subject appearance and position, environment and lighting, actions and state changes, camera movement, current sound, and the points where referenced content actually appears or takes effect. Avoid reducing the description to a plot summary or a list of reference relationships.

    The basic formats for shots, camera movement, speakers, dialogue, and ordinary sound are shared with the Video Prompt Writing Guide (T2VA / I2VA / FL2VA / L2VA). This guide focuses on the reference labels, analysis sections, and format differences specific to full-reference mode.

    1. Overall Structure

    A complete rewrite output consists of six sections in the following order:

    Section Purpose

    subject_definitions Defines referenced content and its reference labels

    summary Summarizes the task type, target video, and main reference relationships

    retention_analysis Describes how referenced content is preserved, transferred, or reused

    detailed_description Describes visuals, actions, shots, sound, and dialogue in playback order

    overall_soundscape Summarizes ambience and physical sounds

    non_diegetic_music Describes background music audible only to the audience

    2. Reference Labels and Definitions (subject_definitions)

    Full-reference rewrites use four types of labels to identify the source and role of referenced content:

    Label Meaning

    <Subject N> Visible content abstracted from reference assets that can be reused or modified in the target video

    <Picture N> A reference image used as a concrete target frame or shot-planning anchor

    <Video N> A reference video that provides an editing source, continuation starting point, or whole-video temporal structure

    <Audio N> An audio signal that is copied or referenced

    Once a reference label is assigned to a piece of content, it keeps the same meaning across subject_definitions, summary, retention_analysis, detailed_description, and the audio sections.

    subject_definitions defines each piece of referenced content that must be tracked separately later, such as a person, an environment, a source video's structure, or an audio track. Give each item its own line and explain what its label denotes, its reference role, and the main features to follow; name the corresponding source asset when its provenance needs to be made explicit. If <Picture N> or <Video N> only identifies the source of another referenced item and will not be analyzed or used separately later, cite it inside that item's definition without adding a separate line. retention_analysis records where each referenced item appears and whether it is fully preserved, partially preserved, transferred, or reused.

    2.1 <Subject N>

    <Subject N> is used for reusable visible content, including:

    People, animals, or objects

    Scenes, backgrounds, or environments

    Clothing, props, interfaces, or visual effects

    Styles, actions, expressions, or poses

    It represents a content unit that will actually be used in the target video, rather than the source file itself. One subject may be defined by multiple reference assets, and one reference asset may provide multiple subjects.

    <Subject 1> is the young woman in <Picture 1>, with long dark hair, a blue cardigan, and a thin silver necklace.

    When the same subject comes from multiple assets, combine the sources and state what each asset provides:

    <Subject 1> is the woman whose appearance comes from <Picture 1> and whose walking motion comes from <Video 1>.

    2.2 <Picture N>

    Use a standalone <Picture N> when the reference image itself serves as a shot's first frame, keyframe, last frame, edited keyframe, or composition anchor:

    <Picture 2> is the first frame of [Shot 1], showing a woman seated beside a café window.

    If an image is used only to define a character, scene, costume, or style, do not create a standalone picture entry. Instead, cite the image source inside the corresponding <Subject N> definition.

    When an image acts as a storyboard or shot-planning reference, state which shots it maps to and what planning information it provides:

    <Picture 3> is a storyboard reference for [Shot 1] and [Shot 2], defining their viewpoint, subject placement, and shot order.

    2.3 <Video N>

    <Video N> is reserved for whole-video relationships, such as:

    Editing an original video

    Continuing from the end of an original video

    Referencing the original video's camera movement, cuts, rhythm, or temporal structure

    <Video 1> is the source video for the target video edit.

    If a person, object, scene, action, or effect from a reference video is reused as visible content, it still belongs under <Subject N>. <Video N> identifies the asset or structural source and does not replace subject labels.

    2.4 <Audio N>

    <Audio N> represents a standalone audio asset or an enabled synchronized audio track from a reference video. Common uses include:

    Copying all or part of an audio signal

    Referencing a background-music style

    Referencing a speaker's voice timbre and delivery

    Using dialogue, lyrics, or sound effects from the original audio

    Referencing beat, rhythm, or audio continuity

    When an <Audio N> explicitly corresponds to a target speaker, reuse that speaker's global ID in the definition: write <Subject N> (Sx) when the speaker maps to a defined subject, or use a stable voice description followed by (Sx) otherwise. The ID comes from the target video's global speaker order and is not independently assigned or renumbered in the audio definition. See Section 5.4 for the speaker-numbering rules:

    <Audio 1> is the voice-timbre reference for <Subject 1> (S1).

    When one audio asset serves multiple roles, describe those roles in one natural sentence rather than creating additional subsections.

    2.5 Visual and Audio Tracks from the Same Reference Video

    <Video N> and <Audio N> are numbered independently. Each index indicates only the label's order within its own category and does not encode a pairing between the two categories. The same reference video may therefore correspond to <Video 1> and <Audio 2>; different indices do not prevent them from coming from the same source asset.

    An ordinary reference video does not create <Audio N> merely because the file contains sound.

    An <Audio N> definition primarily states the audio's role and does not have to name the <Video N> it comes from. State the shared source only when needed to remove provenance ambiguity, for example:

    <Video 1> is the source video for the target video edit.

    <Audio 2> is the synchronized audio track of <Video 1> and is reused in the target video.

    3. summary

    This section uses one short English paragraph to summarize the target video and its reference relationships. It begins with a square-bracketed task-type prefix:

    [reference generation] ...

    [video editing + reference generation + audio reuse] ...

    Choose task types according to the actual role each reference asset plays in the target video:

    Task type When to use it

    keyframe completion An image serves as the target video's first frame, keyframe, last frame, edited keyframe, or another concrete frame anchor

    reference generation An image, video, or audio asset provides generation guidance for a character, scene, style, action, camera movement, storyboard, and so on, without serving as a concrete frame or as the source video being edited or continued

    video editing An existing source video is directly modified; editing an image or generating between still keyframes does not belong to this type

    video continuation New content continues, extends, resumes, or transitions from an existing source video

    audio reuse The same audio signal is reused in full or in part

    audio reference The audio signal is not copied directly; only its music style, timbre, dialogue or lyric content, sound-effect texture, beat, or continuity is referenced

    When a task satisfies multiple relationships, combine the task types with + and do not repeat a type. For example, continuing from a source video while using an image as the last frame is written as [video continuation + keyframe completion]. Editing a source video while retaining its original audio may be written as [video editing + audio reuse].

    The mere presence of video or audio does not automatically create a corresponding task type. If a reference video provides only camera movement, cuts, or rhythm, it normally belongs to reference generation. Use video editing or video continuation only when that video is directly edited or continued.

    When editing a source video, use audio reuse as well if its original audio remains audible. When continuing a source video without directly copying the audio signal, use audio reference if the new audio only continues the original track's audible characteristics.

    The summary uses the previously defined <Subject N>, <Picture N>, <Video N>, and <Audio N> labels to describe the main subjects, shot flow, and roles of the reference assets. Do not introduce new reference labels in this section.

    For video-editing tasks, begin the summary after the task-type prefix with:

    The target video is an edited version of <Video 1>.

    4. retention_analysis

    This section describes how each piece of referenced content is preserved, transferred, copied, or referenced in the target video. Use one line for each reference label and preserve the meaning established in subject_definitions.

    4.1 Visible Content

    <Subject N>, <Picture N>, and <Video N> use the following relationship markers. These markers are fixed English values in the output format:

    Relationship marker Meaning

    fully_preserved The defined role of the referenced content is fully preserved

    partially_preserved The referenced content is still used, but some defined characteristics are changed or only partially retained

    attribute_transfer Referenced characteristics are transferred to a different identifiable target subject

    weak_reference Only broad similarity in style, category, composition, or atmosphere is retained

    Subject entry:

    <Subject 1> (appears in [Shot 1], [Shot 3]): fully_preserved - ...

    Picture entry:

    <Picture 2> ([Shot 1] first frame): fully_preserved - ...

    Video-structure entry:

    <Video 1> (cut and pacing structure): weak_reference - ...

    4.2 Audio

    <Audio N> uses the following relationship markers:

    Relationship marker Meaning

    fully_copy The complete source audio serves as the target video's complete final audio track

    partially_copy Only part of the timeline or selected audio layers are copied, or other sounds are added, removed, or replaced after copying

    reference The signal is not copied directly; only timbre, rhythm, music style, dialogue content, or sound texture is referenced

    weak_reference Only broad similarity in category or atmosphere is retained

    <Audio 1>: fully_copy - <Audio 1> is reused 1:1 as the target video's complete final audio track.

    <Audio 2>: reference - the target speaker follows <Audio 2>'s voice timbre and measured delivery without copying the original signal.

    Choose each relationship marker only within the reference role already defined for that label in subject_definitions. Do not treat newly added actions, backgrounds, or plot events in the target video as losses of reference fidelity.

    5. detailed_description

    This is the main body of a full-reference rewrite. It describes visuals, actions, sound, and dialogue shot by shot in target-video playback order and inserts reference labels where they apply.

    5.1 Basic Format

    The basic format follows the Video Prompt Writing Guide (T2VA / I2VA / FL2VA / L2VA):

    Write the body in English. Preserve the original language of dialogue, lyrics, and visible text.

    [Shot 1] marks the opening shot and has no timestamp. Later shots use [Shot N] At MM:SS.mmm, ... to mark cut times.

    Write camera movement as natural English within the current shot, including movement type, amplitude, and speed when they need to be expressed.

    Give vocal sources stable (S1), (S2), and subsequent IDs. Write dialogue and lyrics as <d>[Language] ...</d>.

    Use <scenetrans>, <cutoff>, and the corresponding continuity descriptions for dialogue crossing a cut, speech truncated by the video ending, and continuous audio across shots.

    For complete rules and examples covering camera vocabulary, group speech, voice-over, dialogue across cuts, and visible text, see the Video Prompt Writing Guide (T2VA / I2VA / FL2VA / L2VA).

    5.2 Full-Reference Mode Differences

    Dimension T2VA Full-reference mode

    Main field integrated_multimodal_description detailed_description

    Style opening Written after [Shot 1] Established in one or two English sentences before [Shot 1]

    Reference information Does not use full-reference labels Inserts <Subject N>, <Picture N>, <Video N>, and <Audio N> at their first appearance and where their roles apply

    Audio relationships Describes the target video's own sound Cites <Audio N> in the corresponding shot or audio phase and states whether the signal is copied or referenced

    Opening example:

    The target video is in a cinematic, literary music-video style with soft lighting and a slightly desaturated color palette.

    [Shot 1] The scene opens in a crowded urban street...

    [Shot 2] At 00:09.000, the shot cuts to an extreme close-up...

    For generation tasks, detailed_description is normally 350-500 English words. Dialogue-dense content prioritizes fitting the complete spoken timeline rather than mechanically reaching a word count. Video-editing descriptions scale with the complexity of the source video and do not have to follow the generation-task range. A single shot does not automatically justify a shorter description; distribute detail across multiple shots according to their information load.

    5.3 Using Reference Labels in Shots

    At the first clear appearance of an important <Subject N>, describe its referenced characteristics, position in the frame, and current action within what is actually visible in the shot. Continue using the same label in later shots without redefining what the label represents.

    Use natural phrasing for concrete frame anchors:

    the shot begins from <Picture 1>

    the shot's keyframe corresponds to <Picture 2>

    the shot ends on <Picture 3>

    When editing or continuing an original video, cite <Video N> naturally where its source state, structure, or continuation relationship applies. Cite <Audio N> in the shot or semantic phase where the audio relationship is active.

    5.4 Speakers, Audio Sources, and Dialogue

    The basic speaker-ID and <d> formats follow T2VA. When a referenced subject physically speaks, retain both the visual reference label and the speaker ID:

    <Subject 2> (S1) turns toward the woman and says, <d>[English] Last summer, I went to my grandfather's house. He talked about you.</d>

    <Subject N> identifies the referenced subject, while (Sx) identifies the actual speaker. When the subject speaks, write <Subject N> (Sx). If the same subject speaks off-screen, keep the same form and mark it as off-screen. When the speaker does not correspond to a defined subject, use a stable voice description followed by (Sx).

    When verbal content is only a cue within a directly reused BGM or complete soundtrack, and no person, character, narrator, or other independent vocal source physically produces it, use <Audio N> as the audible source and do not invent an additional (Sx). If a concrete person, character, narrator, or other independent vocal source produces the voice, assign and reuse (Sx) for that source:

    When <Audio 1> reaches the phrase <d>[English] I'm lonely lonely lonely lonely lonely I'm lonely</d>, <Subject 1> performs the corresponding hand gesture without becoming a separate speaker source.

    When dialogue, narration, or lyrics from reference audio are directly reused, or when the input prompt explicitly requests their reperformance, preserve the exact source words and original language inside <d>. Write [unclear] for unintelligible spans instead of guessing or paraphrasing them. Standardize punctuation to the basic written marks needed to express the sentence, such as ,, ., ?, and !; remove repeated tildes, emoji, bullets, and repeated or decorative punctuation. End complete statements, questions, and exclamations with ., ?, or ! respectively before </d>.

    When only timbre, rhythm, emotion, or delivery is referenced, do not carry the original dialogue from the reference audio into the target video.

    Assign (Sx) once according to the order of actual vocal events in the target video. Reuse the corresponding ID at every actual vocal event in detailed_description; an <Audio N> definition bound to a target speaker in subject_definitions also reuses the same (Sx) but never assigns a new one independently. Do not write (Sx) in retention_analysis. Verbal cues that exist only within a directly reused BGM or complete soundtrack use <Audio N>; voices physically produced by a concrete person, character, narrator, or other independent vocal source use (Sx).

    6. overall_soundscape and non_diegetic_music

    The definitions of these two sound categories follow the Video Prompt Writing Guide (T2VA / I2VA / FL2VA / L2VA).

    overall_soundscape summarizes ambience and physical sounds across the full video. Dialogue, singing, and sound events synchronized to a particular shot remain in detailed_description:

    overall_soundscape: Quiet indoor room tone and a low ventilation hum continue throughout the video.

    non_diegetic_music describes background music that the characters cannot hear and that is audible only to the audience. When music is present, state its instrumentation, tempo, and dynamic development:

    non_diegetic_music: A restrained solo-piano score at a slow tempo, with sustained low cello underneath and no swell.

    When reference audio is used, state its copy or reference relationship only in the section that matches the audible layer: ambience and sound effects belong in overall_soundscape, while audience-only score belongs in non_diegetic_music. If the same audio provides both kinds of content, describe the corresponding relationship in each section:

    overall_soundscape: The copied ambience layer from <Audio 1> continues throughout the target video.

    non_diegetic_music: <Audio 2> is directly reused as the complete audience-only score.

    Write complete dialogue and lyrics only inside <d> in detailed_description; do not repeat them in these two sections.

    7. Complete Example

    subject_definitions:

    <Subject 1> is the coffee-shop environment in <Picture 1>, featuring an exposed brick wall, an orange tufted sofa with patterned pillows, a neon sign, and a wooden coffee table.

    <Subject 2> is the fluffy white Samoyed in <Picture 2>, <Picture 3>, and <Picture 4>, with thick white fur, pointed ears, a dark nose, and a curved tail.

    <Subject 3> is the young blonde woman in <Video 1>, with long blonde hair and a light-pink button-down shirt with rolled-up sleeves.

    <Subject 4> is the young man in <Video 2>, with short wavy brown hair and a dark-grey hoodie with drawstrings.

    <Audio 1> is the voice-timbre reference for <Subject 3> (S1), containing a spoken English vocal layer.

    summary:

    [reference generation + audio reference] The target video shows <Subject 3> eating a cookie in <Subject 1>. <Subject 4> enters with <Subject 2>, which lunges toward the cookie. The three-shot exchange uses <Audio 1> as the voice-timbre reference for <Subject 3> and ends with a canned audience laugh.

    retention_analysis:

    <Subject 1> (appears in [Shot 1], [Shot 2], [Shot 3]): fully_preserved - the exposed brick wall, orange tufted sofa, patterned pillows, neon sign, and wooden coffee table are retained.

    <Subject 2> (appears in [Shot 1], [Shot 2]): fully_preserved - the Samoyed's thick white fur, pointed ears, dark nose, and curved tail are retained.

    <Subject 3> (appears in [Shot 1], [Shot 2], [Shot 3]): fully_preserved - the blonde woman's identity, long hair, and light-pink shirt are retained.

    <Subject 4> (appears in [Shot 1], [Shot 2]): fully_preserved - the young man's short wavy brown hair and dark-grey hoodie are retained.

    <Audio 1>: reference - its vocal timbre guides the dialogue delivery of <Subject 3> without copying the original signal.

    detailed_description:

    The target video uses a realistic multi-camera sitcom style with warm indoor lighting.

    [Shot 1] A medium shot establishes <Subject 1>, the coffee shop with its exposed brick wall, orange tufted sofa, patterned pillows, neon sign, and wooden coffee table. <Subject 3> (S1), the young woman with long blonde hair and a light-pink button-down shirt with rolled-up sleeves, sits on the sofa holding a chocolate-chip cookie. From the left, <Subject 4>, the young man with short wavy brown hair and a dark-grey hoodie with drawstrings, enters holding the leash of <Subject 2>, the thick-furred white Samoyed with pointed ears, a dark nose, and a curved tail. The dog lunges toward the cookie and pulls the leash taut. <Subject 3> (S1) jerks her hand back and, using the clear youthful voice timbre referenced from <Audio 1>, exclaims with light annoyance, <d>[English] Hey! Watch your dog!</d> She closes her lips and guards the cookie while <Subject 4> pulls the dog back.

    [Shot 2] At 00:03.000, the shot cuts to a close-up of <Subject 4> (S2), the young man in the dark-grey hoodie from Shot 1, sitting beside <Subject 3> on the sofa and holding <Subject 2> securely in his arms. <Subject 4> (S2) says in a casual young male voice with a playful tone and an easy conversational pace, <d>[English] He just likes cookies more than me.</d> He closes his mouth into an apologetic smile and strokes the dog's thick white fur.

    [Shot 3] At 00:05.000, the shot cuts to a close-up of <Subject 3> (S1), the blonde woman in the light-pink shirt from Shot 1. Her annoyance softens as she looks toward the Samoyed. <Subject 3> (S1) replies in the same clear youthful voice referenced from <Audio 1> with an amused cadence, <d>[English] Well, he has good taste at least.</d> She smiles and raises the cookie in a small toast-like gesture. A classic canned audience laugh begins immediately after the line and continues through the final frame.

    overall_soundscape:

    Soft indoor coffee-shop room tone continues throughout the scene.

    non_diegetic_music:

    N/A

    Now create a reference to video prompt using the reference image and the next prompt:

    KiraNuggetAug 16, 2026
    CivitAI

    does the prompt: "limited-animation loop on twos" like in your examples is needed to get the effect it will be applied automatically?

    goobnoob
    Author
    Aug 16, 2026

    Depends, but not necessarily. If the animation is too stilted, you can avoid using the label

    Nihilism67Aug 18, 2026
    CivitAI

    amazing audio.

    meipawsAug 19, 2026
    CivitAI

    anal does not work, it switches the hole to vagina

    goobnoob
    Author
    Aug 19, 2026

    The model wasn't trained for text2vid, if that's where you're running into this problem. I'll look into resolving t2v+i2v in one unified lora for future versions.

    meipawsAug 19, 2026

    @goobnoob I've tried it on a missionary anal image. I copied your missionary prompt but changed it to anal/anus in the prompt; it went straight for her pussy, idk why :/ I've tried multiple gens

    santo5311Aug 19, 2026

    @meipaws H3's default seems to vaginal. Try adding something like this in prompt "Every thrust stays anal only. AVOID: vaginal sex, penis in vagina, in-between / wrong hole."

    LORA
    MiniMax H3

    Details

    Downloads
    1,729
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/15/2026
    Updated
    8/21/2026
    Deleted
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